Beamforming and power allocation for energy-efficient massive MIMO

Long D. Nguyen, Hoang D. Tuan, Trung Q. Duong, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Massive multiple input multiple output (MIMO) has emerged as a promising technology, which utilizes a large number of antennas at base stations (BSs) to significantly improve the spectral efficiency in terms of bits/s/Hz while reducing the radiated signal power. A critical issue with massive MIMO is the costly circuit power consumption, which is proportional to the number of antennas. This paper develops low-complexity power allocation techniques to apply beamforming and to maximize the energy efficiency of massive MIMO while meeting users' quality-of-service requirements. Algorithms of low computational complexity with rapid convergence are proposed to solve for the optimal beamformer in this sense. Numerical examples are provided to show the merit of the proposed computational approach.

Original languageEnglish (US)
Title of host publication2017 22nd International Conference on Digital Signal Processing, DSP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538618950
DOIs
StatePublished - Nov 3 2017
Event2017 22nd International Conference on Digital Signal Processing, DSP 2017 - London, United Kingdom
Duration: Aug 23 2017Aug 25 2017

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2017-August

Other

Other2017 22nd International Conference on Digital Signal Processing, DSP 2017
CountryUnited Kingdom
CityLondon
Period8/23/178/25/17

All Science Journal Classification (ASJC) codes

  • Signal Processing

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    Nguyen, L. D., Tuan, H. D., Duong, T. Q., & Poor, H. V. (2017). Beamforming and power allocation for energy-efficient massive MIMO. In 2017 22nd International Conference on Digital Signal Processing, DSP 2017 [8096127] (International Conference on Digital Signal Processing, DSP; Vol. 2017-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2017.8096127